Study of repeatability and phenotypical stabilization in kale using frequentist, Bayesian and bootstrap resampling approaches



Título del documento: Study of repeatability and phenotypical stabilization in kale using frequentist, Bayesian and bootstrap resampling approaches
Revista: Acta scientiarum. Agronomy
Base de datos: PERIÓDICA
Número de sistema: 000460101
ISSN: 1679-9275
Autores: 1
2
3
3
1
1
Instituciones: 1Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Minas Gerais. Brasil
2Universidade Federal de Lavras, Lavras, Minas Gerais. Brasil
3Universidade Federal de Minas Gerais, Instituto de Ciencias Agrarias, Montes Claros, Minas Gerais. Brasil
Año:
Volumen: 41
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, analítico
Resumen en inglés The aim of this study was to obtain information for the genetic improvement of kale through repeatability and phenotypic stabilization studies and to compare methodologies that represent the reliability of the estimated parameters. Thirty-three half-sib progenies were evaluated in a randomized block design with three replicates and six plants per plot. Eight harvests were evaluated in terms of the yield of fresh leaves, number of shoots, number of leaves and average mass of leaves. Then, a phenotypic repeatability and stabilization study was performed, estimating the genetic parameters σ2a, σ²g, σ²e, and the coefficient of environmental variation and repeatability using the frequentist and Bayesian methodologies. To evaluate the reliability of these estimates, intervals were obtained using the frequentist, Bayesian and bootstrap methods. It was verified that the reliable selection of progenies of half-sib of kale can be achieved in four harvests that were realized between 95 and 170 days after planting. It was observed that the frequentist and Bayesian methodologies are better suited to obtain reliable estimates of the genetic parameters evaluated, as the last one provided smaller amplitudes for the obtained intervals. The bootstrap methodologies are not recommended for phenotypic repeatability and stabilization studies in kale
Disciplinas: Agrociencias
Palabras clave: Hortalizas,
Col,
Brassica oleracea,
Fenotipos,
Análisis estadístico,
Análisis de varianza (ANOVA),
Método bayesiano,
Bootstrap
Keyword: Vegetables,
Cabbage,
Brassica oleracea,
Phenotypes,
Statistical analysis,
Variance analysis (ANOVA),
Bayesian methods,
Bootstrap
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